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  • Модели оценки и прогнозирования целевых показателей в кризисных ситуациях на основе цифровых двойников сложных объектов
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News
August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Модели оценки и прогнозирования целевых показателей в кризисных ситуациях на основе цифровых двойников сложных объектов

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Podchufarov A., Аустер И. А., Ванина С. С., Galkina A. N.

The development of the system engineering methodology based on modeling methods (MBSE) has become one of the significant foundations of the current stage of actively expanding the areas of im-plementation of digital twins of complex objects. To assess and manage the target indicators of digital twin objects, the methodological apparatus based on MCC-models is widely used. Effective interaction of the participants considered as part of the model is ensured through the use of modern approaches to UX and UI design (user experience and interface design). The required quality of digital twins calculation tools is ensured by introducing algorithms aimed, among other things, at solving the problems of incompleteness of external and internal information, the complex dependence of competitiveness on factors, and the mutual influence of factors. The algorithms include methods of bifurcation analysis and soft modeling, methods of network analysis, as well as methods of multi-criteria optimization. The combination of methods used makes it possible to consider digital twins as a promising tool for improving the efficiency of high-tech facilities at all stages of their life cycle and minimizing risks in crisis situations.

Language: Russian
Full text
Keywords: моделированиеmodelingсистемный подходsystems approachцифровой двойникdigital twinsMCC-modelМКК-модельUX-дизайнUX-design

In book

Международный экономический симпозиум — 2022. Материалы международных научных конференций 17–19 марта 2022 г.: X Международная научно-практическая конференция «Устойчивое развитие: общество и экономика», XIX Международная конференция «Эволюция международной торговой системы: проблемы и перспективы», XXVIII Международная научно-практическая конференция «Актуальные проблемы менеджмента: особенности управления в кризисных ситуациях в условиях пандемии»
СПб.: Скифия-принт, 2022.
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